LlamaIndexvsCody

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

LlamaIndex

Data & ETL

Featured

Data framework for connecting LLMs to external data

Full review →Website ↗

Cody

Coding Assistants

AI coding assistant by Sourcegraph with codebase context

Full review →Website ↗
FeatureLlamaIndexCody
CategoryData & ETLCoding Assistants
PricingFree (open-source) + CloudFree + Pro $9/mo
GitHub Stars
✓ More stars
38k
5k
PlatformsLinux, macOS, WindowsmacOS, Linux, Windows
Key Features
  • ✓ RAG pipelines
  • ✓ Data connectors
  • ✓ Indexing
  • ✓ Query engine
  • ✓ Agent tools
  • ✓ Codebase context
  • ✓ Code search
  • ✓ Autocomplete
  • ✓ Chat
  • ✓ Multi-repo
Pros
  • + Best-in-class RAG framework
  • + 100+ data connectors
  • + Multiple index types
  • + Great documentation
  • + Active community
  • + Deep codebase context
  • + Multi-repo understanding
  • + Code search integration
  • + Free tier available
  • + Privacy controls
Cons
  • − Can be complex for simple use cases
  • − Abstractions hide complexity
  • − Learning curve for advanced features
  • − Some features require LlamaCloud
  • − Best with Sourcegraph (less useful standalone)
  • − Smaller model selection
  • − Enterprise pricing
  • − Less known than Copilot
Tags
ragdataindexingopen-source
codingsourcegraphcontextsearch

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